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#2020F_hw5_submissions problem 1 #I pledge my honor that I have abided by the Stevens honor system -Maya O def main(): def square(y): return [y**2 for y in x] n = int(input("How many numbers would you like to square? ")) x = [] for i in range(0,n): list = float(input("Enter number: "))...
# Generated by Django 2.1.2 on 2018-11-12 03:59 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('datawarehouse', '0008_auto_20181110_1606'), ] operations = [ migrations.CreateModel( ...
# @see https://adventofcode.com/2015/day/5 from lib.helper import filetolist import re words = filetolist('day5_input.txt') def part1(w: list): n = 0 for l in w: if re.search(r'([aeiou].*){3,}', l) and re.search(r'([a-z])\1+', l) and not re.search(r'(?:ab|cd|pq|xy)+', l): n += 1 return n def part2(...
from __future__ import annotations import typing as T from pathlib import Path import subprocess import shutil import json import os import tempfile import importlib.resources from ..web import git_download __all__ = ["exe", "build", "find_library"] def exe() -> str: cmake = shutil.which("cmake") if not cm...
# = [0,10,20,40] #L[::-1] #[40, 20, 10, 0] def reverse(text): if len(text) <= 1: return text return reverse(text[1:]) + text[0] print (reverse("Alex"))
from __future__ import division from Module3 import * from Module1 import * import math import random import sys import os import itertools import operator import random import string import nltk from nltk.corpus import brown as bw # corpus for different genres from nltk.corpus import wordnet as w...
"""Tests for the `data_loader` module.""" import os import pytest import a2d2.data_loader as data_loader @pytest.mark.skipif(not os.path.exists("a2d2.tfrecord"), reason="needs access to a tfrecord") def test_simple(): """Tests loading a local tfrecord file.""" batch_size = 16 reader = data_loader.A2D2TF...
# coding: utf-8 # In[50]: import cv2 import numpy as np import matplotlib.pyplot as plt # In[51]: img = cv2.imread('/home/padmach/data/pyimagesearch/flower3.jpg') #cv2.imshow('', img) #cv2.waitKey(0) # In[52]: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) blurred = cv2.GaussianBlur(gray, (3,3),0) #cv2.imshow(''...
import itertools import csv import random total_size = 500 from sparkpost_impl import send_email def pick_one_person(combination, fields, csvFile): fields = [3, 4] for row in csvFile: matched = False for idx in xrange(len(fields)): if row[fields[idx]] != combination[idx]: continue email = row[1] del r...
import numpy as np import random import torch class RandomFault: def __init__(self, layer_mask=None, seed=0, frac=0, random_addrs=False, fault_type="uniform", int_bits=2, frac_bits=6): super(RandomFault,self).__init__() self.frac = frac self.random_addrs = random_addrs self.random_seed = see...
# Generated by Django 3.0.6 on 2020-05-31 20:33 from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('research', '0006_remove_research_attended'), ] o...
epic_dict = {'Jack': 5, 'Bill': 14, 'Katy': 3, 'Jess': 33, 'Alex': 4} # ordenando pela chave # sorted_dict = sorted(epic_dict.items(), key = lambda t: t[0]) # ordenando pelos valores sorted_dict = sorted(epic_dict.items(), key = lambda t: t[1]) from collections import OrderedDict x = (OrderedDict(sorted_dict)) for...
#a=list(map(int,input().split())) a=[1,1,4,2,1,3] b=sorted(a) c=0 for i in range(len(a)): if a[i]!=b[i]: c+=1 print(c)
import sys def main(): script = sys.argv[0] option = sys.argv[1] inputFile = sys.argv[2] outputFile = sys.argv[3] print(f' \n script {script} wird ') print(f' \n mit option {option} \n ') print(f' input file is "{inputFile}" ') print(f' output file is "{outputFile}" ') inf = ope...
from django.shortcuts import render from django.http import HttpResponse from .models import Teacher, Student def teacher_list(request): teacher_list = Teacher.objects.all().order_by('full_name') context = { 'teachers': teacher_list } return render(request, 'teacher/list.html', context)
# This file is part of beets. # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the # "Software"), to deal in the Software without restriction, including # without limitation the rights to use, copy, modify, merge, publish, # distribu...
import math x=float(input("x= ")) if((x>0)and(x<2)): x=x*x print("f(x): ",x) elif(x<=0): x=(-1)*x print("f(x): ",x) elif(x>=2): x=4 print("f(x): ",x)
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import annotations import os from dataclasses import dataclass from pants.backend.helm.target_types import ( HelmChartFieldSet, HelmChartMetaSourceField, Helm...
from django.shortcuts import render # Create your views here. def chatbotview(request): question="Hello" data={ 'quest':question, } return render(request,"bot.html",data)
newlist = [x for x in range(10)] print(newlist)
# Generated by Django 2.2.4 on 2019-09-07 08:20 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('residents', '0001_initial'), ('visitors', '0008_auto_20190907_1559'), ] operations = [ migrations.A...
#|default_exp p00_opencv_cl # sudo pacman -S python-opencv rocm-opencl-runtime python-mss import time import numpy as np import cv2 as cv import mss start_time=time.time() debug=True _code_git_version="eb9657d970d6d5e734ec4ea64a9209136d8c70bd" _code_repository="https://github.com/plops/cl-py-generator/tree/master/examp...
def reverse_digits(num): reverse_list = [] still_have_digits = True while still_have_digits: digit = num % 10 if num <= 0: still_have_digits = False else: reverse_list.append(digit) num = num/10 for digit in reverse_list: print digit...
import sys from assignment3 import ConfigDict cc = ConfigDict('config_file.txt') if len(sys.argv) == 3: key = sys.argv[1] value = sys.argv[2] print('wrting data {} {}'.format(key,value)) cc[key] = value else: print('reading data') for key in cc.keys(): print(' {} = ...
# web评分服务端 # coding:utf-8 from flask import Flask, render_template, request, redirect, url_for, make_response, jsonify import os import cv2 from keras.models import Sequential from keras.models import load_model import numpy as np import time from datetime import timedelta def sc(imagePath,current): global model...
# 错误、调试和测试:错误处理、调试、单元测试和文档测试 # 錯誤處理 try 。。except 。。finally import unittest import logging try: print('try ...') r = 10 / 0 print('result:', r) except ZeroDivisionError as e: print('except:', e) finally: print('finally...') print('end') # 當我們任務某些代碼可能出錯時,就可以try來運行這段代碼 try: print('try...') r ...
import time localtime = time.localtime(time.time()) print(localtime) print(type(localtime)) print(localtime.tm_year) print(localtime.tm_mon) print(time.localtime())
# Settings from # Pajonk, Oliver, et al. # "A deterministic filter for non-Gaussian Bayesian estimation—applications to dynamical system estimation with noisy measurements." # Physica D: Nonlinear Phenomena 241.7 (2012): 775-788. # # More interesting settings: mods.Lorenz84.harder from common import * from mods....
# extract_overlapping_QME_data.py # by Cody Moser (10/13/2014) # cody.moser@amec.com # AMEC # Description: extracts overlapping QME (non-missing) data #from two time series in a .csv file #import script modules import os import csv #USER INPUT SECTION input_csv = r'P:\\NWS\\MBRFC\\QME\\MUSM8\\MUSM8_MSBM8_...
from src.output.DefaultOutput import DefaultOutput class CliOutput(DefaultOutput): def frequencyUpdated(self, value): print("Frequency updated: ", value, " kHz\n")
""" 1 Кредитование Создать прогшрамму которая посчитает кредит для потребителя по формуле Month = (Summ * Proc * (1 + Proc)Years) / (12 * ((1 + Proc)Years – 1)) Где: Month - размер месячной выплаты; Summ - сумма займа (кредита); Proc - процент банка, выраженный в долях единицы (т. е. если 20%, то будет 0.2). Years - ко...
# Generated by Django 3.0.6 on 2020-06-04 13:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('musicRun', '0003_auto_20200604_1334'), ] operations = [ migrations.AddField( model_name='song', name='artists', ...
from telegram.ext.filters import BaseFilter from .models import Chat class GroupFilters(object): class _AllowedGroups(BaseFilter): name = 'GroupFilters.allowed_groups' def filter(self, message): chat_id = message.chat.id return True if Chat.objects.get_or_no...
# Definition for singly-linked list. class ListNode(object): def __init__(self, val=0, next=None): self.val = val self.next = next class Solution(object): def addTwoNumbers(self, l1, l2): """ :type l1: ListNode :type l2: ListNode :rtype: ListNode """ ...
import setuptools from sdcli.config import Config EXTENSIONS = { 'Click', 'colorama' } setuptools.setup( name=Config.NAME, version=Config.VERSION, author=Config.AUTHOR, author_email=Config.EMAIL, packages=setuptools.find_packages(), license=Config.LICENSE, description=Config.DES...
# Python3 default encoding is UTF-8 # 統一發票兌獎: # 統一發票是一個八位數字(整數)的對獎方式,有一個特別獎號,一個特獎號及三個頭獎獎號,和數個增開六獎(三位數) # 獎金則是根據下面規則給付: # 特別獎:和特別獎號碼完全相同 獎金10000000 元 # 特獎:和特獎號碼完全相同 獎金 2000000 元 # 頭獎:和頭獎號碼完全相同 獎金 200000 元 # 二獎:和頭獎號碼最後 7 位數字相同,獎金 40000 元 # 三獎:和頭獎號碼最後 6 位數字相同,獎金 10000 元 # 四獎:和頭獎號碼最後 5 位數字相同,獎金 ...
from flask import Blueprint from flask import jsonify from flask import request from google.oauth2 import service_account from google.auth.transport.requests import AuthorizedSession from google.cloud import datastore from google.cloud import bigquery from google.cloud import storage from google.cloud.exceptions import...
import requests # r = requests.get("http://www.amazon.cn/gp/product/B01M8L5Z3Y") # print(r.status_code) # print(r.encoding) # print(r.request.headers) # kv = {'user-agent': 'Mozilla/5.0'} # r = requests.get("http://www.amazon.cn/gp/product/B01M8L5Z3Y", headers=kv) # print(r.request.headers) # print(r.text) def get...
import json from elasticsearch import Elasticsearch from elasticsearch import helpers es_host = '' index_name = 'terms-lookup' def read_json_dump(): with open('/home/dandric/terms-lookup-1.json') as data_file: print('Starting JSON Loading...') data = json.load(data_file) hits = data['hits...
from flask import Flask, render_template import os import sys from flask import request from random import randint import tact_util as t_util app = Flask(__name__) @app.route('/') def home(): return render_template('index.html') @app.route('/result', methods=['POST']) def result(): name = request.form....
""" Result analysis.py Observing results of the vowel elimination algorithm in different time bands. Results stored in file with _Analysis.csv extension. Author: Rishabh Brajabasi Date: 2nd May 2017 """ file_name_template_1 = 'F:\Projects\Active Projects\Project Intern_IITB\Vowel Evaluation PE V6\\Vowel_Evaluation_V6...
# Generated by Django 3.0.3 on 2020-05-09 22:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('cases', '0003_auto_20200509_2240'), ] operations = [ migrations.AddField( model_name='case', name='short_description...
import os import sys import subprocess import shutil import hashlib import fam sys.path.insert(0, 'scripts') sys.path.insert(0, os.path.join("tools", "phyldog")) sys.path.insert(0, os.path.join("tools", "trees")) import experiments as exp import link_file_from_gene_tree as phyldog_link import sequence_model import resc...
#!/usr/bin/env python # coding: utf-8 # In[195]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import matplotlib.gridspec as gridSpec get_ipython().run_line_magic('matplotlib', 'notebook') plt.style.available plt.style.use('seaborn-colorblind'); # In[196]: #DATASET 1 - MAPUTO df3=pd.re...
# Generated by Django 3.2.9 on 2021-12-06 16:27 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('osmcal', '0028_user_home_location'), ] operations = [ migrations.AlterField( model_name='event', name='description',...
class Solution(object): def bitwiseComplement(self, num): """ :type N: int :rtype: int """ return (1 << len(bin(num)) >> 2) - num - 1
import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn import svm, neural_network, naive_bayes from sklearn.linear_model import Perceptron from sklearn import preprocessing import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D Attributes = pd.read_csv(...
import rest_framework.urls from django.contrib import admin from django.urls import include, path from rest_framework.routers import DefaultRouter from indig.views import IndicativosViewSet, index, sobre router = DefaultRouter() router.register('indicativos', IndicativosViewSet) urlpatterns = [ path('', index, na...
#!/usr/bin/env python #-*- coding:utf-8 -*- """用来和数据库进行交互""" import hashlib import uuid import web db = web.database(dbn='mysql', db='mailserver', host='192.168.56.101', port=3306, user='root', pw='mdsmds', charset='utf8') def create_virtual_user(): pass def delete_virtual_user(): pass d...
#!/usr/bin/env python3 from flatactors import Actor from interpretor import InterpretorActor from irc import IRCMainActor from logger import LoggerActor class MasterActor(Actor): def constructor(self): self.daemon = False def initialize(self): self.make_babies( ('interpretor', Int...
from django.core import signing from django.views.generic import ListView, TemplateView, View from django.http import Http404 from django.shortcuts import redirect, get_object_or_404 from django.contrib import messages from django.utils.translation import ugettext as _ from trueskill import rate_1vs1 from ranking impo...
from django.conf.urls import patterns, include, url from django.contrib.auth.views import login, logout, password_change, password_change_done urlpatterns = patterns('jaber.accounts.views', url(r'^login', login, {'template_name': 'accounts/login.html', 'extra_context':{}}, name='login'), )
from PIL import Image img = Image.open('img.JPG') print(img.format, "%dx%d" % img.size, img.mode) img.show()
# -*- coding: utf-8 -*- # @Author: zjx # @Date : 2018/7/27 from selenium import webdriver from selenium.webdriver.chrome.options import Options import time chrome_options = Options() chrome_options.add_argument('--headless') driver = webdriver.Chrome(chrome_options=chrome_options) driver.get('http://ww...
from sys import stdin class Expression: def __init__(self, n1, n2, result): self.n1 = n1 self.n2 = n2 self.result = result def main(): for line in stdin: t = int(line) ls = [] for _ in range(t): vals, res = input().split('=') n1, n2 = map...
from django.db.models import Count from rest_framework.viewsets import ModelViewSet from rest_framework.filters import SearchFilter from django_filters.rest_framework import DjangoFilterBackend from .models import Dog, Breed from .serializers import DogSerializer, CreateDogSerializer, BreedSerializer from .permissions...
#find a column that has a value given a database and a table import cx_Oracle import os import re import sys # raw_input('Which databaese do you ') os.environ['ORACLE_HOME'] = '/oracle_64/orahome11g/' os.environ['LD_LIBRARY_PATH'] = '/oracle_64/orahome11g/lib' construct = 'qad/mfg@ny-oracle-ts-01.Yurman.c...
#! /usr/bin/env python3 # ---------------------------------------------------------------------------- # # fn_c_heuristic_wrapper.py # # # # By - jacksonwb ...
from django.contrib import admin from .models import Position, Job class PositionAdmin(admin.ModelAdmin): list_display = ('id', 'name') list_display_links = ('id', 'name') search_fields = ['name'] list_per_page = 10 admin.site.register(Position, PositionAdmin) admin.site.register(Job)
import os import re import shutil from PIL import Image from PIL import ImageOps from tqdm import tqdm import time def ResizeToSquare(path): newWidth = 1536 newHeight = 1536 shrinkImg = Image.open(path) shrinkImg.thumbnail((768, 1024), Image.ANTIALIAS) emptyImg = Image.new("RGB", (...
import sys import click from ai.backend.cli.interaction import ask_yn from ai.backend.client.session import Session from ai.backend.client.func.domain import ( _default_list_fields, _default_detail_fields, ) # from ai.backend.client.output.fields import domain_fields from . import admin from ..pretty import p...
from datetime import datetime from db_config import db, ma from models.probe_monitoring import probe_model from sqlalchemy import Column, Integer, ForeignKey class PerformanceAnalysis(db.Model): __tablename__ = "performance_analysis" id = db.Column(db.Integer, primary_key=True, autoincrement=True) start_d...
#!/usr/bin/env python # -*- coding: utf-8 -*- from twitter import * CONSUMER_KEY = "X" CONSUMER_SECRET = "X" TOKEN_KEY = "X" TOKEN_SECRET = "X" def sendTweet(message): try: t = Twitter(auth=OAuth(TOKEN_KEY, TOKEN_SECRET,CONSUMER_KEY, CONSUMER_SECRET)) t.statuses.update(status=message) except: pass
#!/usr/bin/env python VERBOSE = False; VVERBOSE = False; import sys; import time; sys.setrecursionlimit(200000); class Graph: def __init__(self, num_vertices = 0): if VERBOSE: sys.stderr.write("Creating Graph instance with " + str(num_vertices) + " vertices\n"); self.p = [[0 for x ...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'Interfaz.ui' # # Created by: PyQt5 UI code generator 5.8 # # WARNING! All changes made in this file will be lost! from fractions import Fraction from PyQt5 import QtCore, QtWidgets, QtGui from PyQt5.QtWidgets import * from crearSecuenciaRe...
from pathlib import Path import numpy as np import pytest from npe2 import DynamicPlugin from npe2.manifest.contributions import SampleDataURI import napari from napari.layers._source import Source from napari.viewer import ViewerModel def test_sample_hook(builtins, tmp_plugin: DynamicPlugin): viewer = ViewerMo...
class Cat: def __init__(self, name): self.name = name def eat(self): print('%s 吃鱼' % self.name) cat = Cat('TOM') cat.eat() jery = Cat('jery') jery.eat()
#!/usr/bin/enc pyton3 #This script is for going in every directory and concatenating all text files in that directory import os #import subprocess #print("-----------------------------------------------------------Hello user------------------------------------------------------\n") pwd=os.getcwd() #print(pwd) #print("\...
import datetime from django.db.models import Count # Сериализаторы from rest_framework import filters from rest_framework import generics, viewsets from rest_framework.decorators import api_view, permission_classes from rest_framework.permissions import IsAuthenticated from rest_framework.response import Response from...
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from dataclasses import dataclass from typing import Any from pants.backend.codegen.protobuf.lint.buf.skip_field import SkipBufLintField from pants.backend.codegen.protobuf.lint.buf.subsys...
#This problem was asked by Airbnb. #Given a list of integers, write a function that returns the largest #sum of non-adjacent numbers. Numbers can be 0 or negative. #For example, [2, 4, 6, 2, 5] should return 13, since #we pick 2, 6, and 5. [5, 1, 1, 5] should return 10, since we pick 5 and 5. def largest_non_adjacent...
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html from twisted.enterprise import adbapi import MySQLdb import MySQLdb.cursors # 导入时间处理库 import datetime import time # 导入json/c...
import logging from description import Description from slipnet import slipnet from workspaceStructure import WorkspaceStructure class WorkspaceObject(WorkspaceStructure): def __init__(self, workspaceString): WorkspaceStructure.__init__(self) self.string = workspaceString #self.string.obj...
# coding=utf-8 import os import sys import unittest from time import sleep from selenium import webdriver from selenium.common.exceptions import NoAlertPresentException, NoSuchElementException sys.path.append(os.environ.get('PY_DEV_HOME')) from webTest_pro.common.initData import init from webTest_pro.common.model.ba...
import os import boto3 import json from boto3.dynamodb.types import TypeDeserializer def lambda_handler(event, context): """ Takes a message from the DynamoDB stream, serializes it, and publishes the message to the Topic for broadcast """ sns = boto3.resource("sns") topic = sns.Topic(os.envi...
#!/usr/bin/python import json import xlwt from xlwt import * import xlrd ## write the header row in the worksheet. def writeHeaders(sheet,rubric): ##print "adding header for rubric type="+rubric font = Font() font.name = "Calibri" font.bold = True; style = XFStyle() style.font = font if (rubric == "CSW"): sh...
""" inputFile = open("Day11_SeatingSystem/InputTest2.txt","r") Lines = inputFile.readlines() input_list = [] for line in Lines: currentInput = line.strip() input_list.append(currentInput) for row_number in range(len(input_list)): print(row_number) for row_number in range(len(input_list[0])): print(row...
import requests import json import time import queue class Bot(): def __init__(self, name, port, mediator): self.name = name self.port = port self.url = 'http://localhost:'+str(port)+'/webhooks/rest_custom/webhook' self.mediator = mediator if(name != "Scrum Master"): ...
#Finding numbers that are not divisible by a particular number n=int(input("Enter the number")) print('The numbers between 1-100 that are divisible by %d are:'%n) for i in range(1,100): if i%n!=0: continue else: print(i,end=" ")
#!/usr/bin/env python import sys import os import matplotlib.pyplot as plt import class_analyse_tools as tools iteration = list() nbr_pos_vect = list() nbr_neg_vect = list() if len(sys.argv) != 4 : print("Usage : \narg1 : archive path") print("arg2 : name of file with the scores") print("arg3 : number ...
def score(test): rt, acc = 0, 0 for i in range(len(test)): if test[i] == 1: rt += test[i] + acc acc += 1 else: acc = 0 return rt N = int(input()) test = list(map(int, input().split())) print(score(test))
#!/usr/bin/python import httplib2 import pprint import time from apiclient.discovery import build from apiclient.http import MediaFileUpload from oauth2client.client import OAuth2WebServerFlow # Copy your credentials from the console CLIENT_ID = '135248680417-jvna7sa41ae8vbfq5kgqb6q5ubfovkj9.apps.googleusercontent....
# public function to use from django.conf import settings from django.core.exceptions import ObjectDoesNotExist from django.http import HttpResponseBadRequest import os.path from captcha.tools import GenCaptcha from captcha.models import CaptchaStore def set_captcha(key): g = GenCaptcha() ans, buffer = g.cre...
DENSITY = {'H': 1.36, 'W': 1, 'A': 0.87, 'O': 0.8} def separate_liquids(glass): if not glass: return [] column = len(glass[0]) liquids = sorted((b for a in glass for b in a), key=lambda c: DENSITY[c]) return [liquids[d:d + column] for d in xrange(0, len(liquids), column)]
def max(xs): if len(xs) == 1: return xs[0] else: sub_max = max(xs[1:]) return xs[0] if xs[0] > sub_max else sub_max print max([1]) # => 1 print max([1,2,10,3,4]) # => 10
fout=open('/Users/alejo/Projects/ActiveLearning/Data/compiledv2_Headers.csv', 'w') with open('/Users/alejo/Projects/ActiveLearning/Data/compiledv2.txt', 'r') as f: for i,line in enumerate(f): fout.write("{0},{1}".format(i,line)) fout.close()
import os import pandas as pd import numpy as np import datetime import gc class Dataset(object): def __init__(self, train_path = 'train.csv', test_path = 'test.csv', hist_trans_path = 'historical_transactions.csv', new_trans_path='new_merchant_transactions.csv', new_merc_path='merchants.csv', ba...
from rest_framework import serializers from .models import Bike_model, Bike, Bike_rent class Bike_modelSerializer(serializers.ModelSerializer): class Meta: model = Bike_model fields = '__all__' class BikeSerializer(serializers.ModelSerializer): class Meta: model = Bike fields =...
# This file will define our database structure and provide methods to # access our database # Sets up database from sqlalchemy import * from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, sessionmaker from json import dumps Base = declarative_base() # Class for Races. Eac...
import pandas as pd print("Remove this") name = "Ismet" age = 29
from PIL import Image import numpy as np import random import math class DBSCAN(): def __init__(self, fileName, radis, less): self.img = Image.open(fileName) self.radis = radis self.less = less # --- Image self.width, self.height = self.img.size self.imgArr = np.arra...
#!usr/bin/env python3 import csv import os import sys from datetime import datetime import db_secrets import database as db import google_drive as gd def migrate_gd_to_db(file_id_list, table): """ Downloads data from Google Sheet and uploads it do database. Argumnent passed to this function must be a Goog...
try: import Tkinter as tk from Tkinter import * except ImportError: import tkinter as tk from tkinter import * from base_input import BaseInputPage from utils.paths import isValidPath class DirectoryInputPage(BaseInputPage, object): def __init__(self, parent, controller, frame_number): BaseInputPage.__init__(s...
#!/usr/bin/env python __author__ = "Alessandro Coppe" ''' Create a single VCF from multiple VCFs from Mutect2, Strelka2 and Varscan2. Parameters: - v (--vcfs): the list of VCFs separated by , - d (--directory): the directory containing the VCFs ''' import argparse import os.path import sys def check_that_vc...
import csv import datetime as dt import json import logging import math import pickle import sys import traceback from collections import defaultdict import numpy as np import luminometers from fitResultReader import fitResultReader from luminometers import * from vdmUtilities import makeCorrString im...
import sys sys.path.append('..') import BTreeNode """ create tree 4 5 9 6 7 11 """ root = BTreeNode.BTreeNode(4) root.left = BTreeNode.BTreeNode(5) root.left.left = BTreeNode.BTreeNode(6) root.left.right = BTreeNode.BTreeNode(7) root.right = BTreeNode.BTreeNode(9) root.right.right = BTreeNode....
for i in range(10): n=int(input("Enter the number")) if n==0: continue print(n) print("Thank you")
n = int(input()) arr = list(map(int,input().strip().split()))[:n] arr.sort() if n % 2 == 0: stor1 = [] stor2 = [] for i in range(n): if i % 2 == 0: stor1.append(arr[i]) else: stor2.append(arr[i]) stor2.reverse() res = stor1 + stor2 elif n % 2 ==...
# Copyright 2022 Pulser Development Team # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
from django.shortcuts import render from django.core.serializers import serialize from django.views.generic import View from django.http import HttpResponse from django.http import JsonResponse from .mixins import CSRFExempt,render_to_response,is_json from .models import StuData from .forms import StuForm import json ...